SPECIAL SESSION

Special Session 4: Intelligent Signal Processing and Its Applications

The Special Session on “Intelligent Signal Processing and Its Applications” is dedicated to exploring emerging theories, methodologies, and applications that integrate signal processing with adaptive learning, artificial intelligence, and data-driven modeling. The session aims to bring together researchers working in multidimensional signal processing and geometric algebra-based signal analysis, adaptive signal processing and learning, active noise control, direction-of-arrival estimation and array signal processing, graph signal processing and distributed intelligence, as well as deep unfolding and intelligent signal processing. Particular emphasis will be placed on intelligent and model-driven approaches for nonlinear, non-Gaussian, time-varying, high-dimensional, and distributed signal processing problems, with special attention to theoretical advances in robust algorithms, such as correntropy-based adaptive filtering, under impulsive noise and non-Gaussian interference. Submissions are especially encouraged on intelligent adaptive filtering, correntropy and robust signal processing, geometric algebra and multidimensional signal representation, active noise control, array sensing and direction-of-arrival estimation, graph signal processing and distributed learning, as well as deep unfolding and model-driven intelligent methods. By bridging fundamental signal processing theory with emerging intelligent technologies and practical applications, this special session seeks to stimulate interdisciplinary discussions and identify new research opportunities in next-generation intelligent signal processing.

Related topics: （此专题涉及的征稿主题）
• Adaptive Signal Processing and Learning
• Multidimensional Signal Processing
• Active Noise Control
• Direction-of-Arrival Estimation and Array Signal Processing
• Graph Signal Processing and Distributed Intelligence
• Deep Unfolding and Intelligent Signal Processing.

Submit Method:
1, Submit it via the link: http://confsys.iconf.org/submission/icece2026 (after entering the link, click on the corresponding topic)
2, Send your manuscript to icece_conf@vip.163.com with subject "Submit+Special Session-4+Paper Title". (请通过邮件发送稿件，邮件题目：Submit+Special Session-4+Paper Title) before the submission date.

Short Biography of Organizers

Prof. Haiquan Zhao, Ph.D. advisor, Strategic Advisory Expert at the Chinese Academy of Engineering, Elsevier Highly Cited Researcher, Sichuan Provincial Academic and Technical Leader, Sichuan Provincial Outstanding Expert with Distinguished Contributions, Recipient of the Sichuan Provincial Outstanding Young Scientist Grant, and one of the first directors of the Innovation Studio at Southwest Jiaotong University. He has received seven provincial and ministerial-level awards, including the First Prize in Natural Sciences from the Chinese Association of Automation and the Second Prize for Scientific and Technological Progress from the Ministry of Education. He is also the recipient of the Tang Lixin Outstanding Scholar Award, a Standing Council Member of Sichuan Youth Federation for Science and Technology, a Member of the Sichuan Provincial Youth Federation, and a Standing Council Member of the Chengdu Association of Knowledge Workers. He serves on the editorial boards of eight international SCI journals, including IEEE TASLP, IEEE TSMCA, Signal Processing, and IEEE SPL.

Xinyan Hou received the B.S. degree in Automation and the M.S. degree in Pattern Recognition and Intelligent Systems from Lanzhou Jiaotong University in 2017 and 2020, respectively, and the Ph.D. degree in Control Science and Engineering from Southwest Jiaotong University in 2025. He is currently with the School of Automation and Electrical Engineering, Lanzhou Jiaotong University. Her research interests include adaptive signal processing, graph signal processing, and model-assisted networks.

Xiaoqiang Long received the B.S. degree in Electronic Information Engineering and the M.S. degree in Electromagnetic Fields and Microwave Technology from Northwest Normal University in 2018 and 2021, respectively, and the Ph.D. degree in Electrical Engineering from Southwest Jiaotong University in 2025. He is currently with the College of Physics and Electronic Engineering, Northwest Normal University. His research interests include correntropy-based adaptive filtering, robust signal processing, distributed adaptive learning, geometric algebra, and multidimensional signal processing.

Yang Zhou received the B.S. degree in Automation and the M.Eng. degree in Control Engineering from Lanzhou University of Technology in 2018 and 2021, respectively, and the Ph.D. degree in Control Science and Engineering from Southwest Jiaotong University in 2026. He is currently with the School of Automation and Electrical Engineering, Lanzhou University of Technology. His research interests include adaptive signal processing, active noise control, and the theory, methods, and applications of intelligent optimization.